A rate-independent technique for analysis of nucleic acid sequences: evolutionary parsimony

• Published in: Molecular biology and evolution 1987-03, Vol.4 (2), p.167-191
• Main Author: LAKE, J. A
• Format: Article
• Language: English
• Subjects: Base Sequence; Biological and medical sciences; Biological Evolution; Biometry; Fundamental and applied biological sciences. Psychology; Genetics of eukaryotes. Biological and molecular evolution; Methods; Models, Genetic; Space life sciences
• ISSN: 0737-4038; 1537-1719; 1537-1719
• DOI: 10.1093/oxfordjournals.molbev.a040433

The method of evolutionary parsimony--or operator invariants--is a technique of nucleic acid sequence analysis related to parsimony analysis and explicitly designed for determining evolutionary relationships among four distantly related taxa. The method is independent of substitution rates because it is derived from consideration of the group properties of substitution operators rather than from an analysis of the probabilities of substitution in branches of a tree. In both parsimony and evolutionary parsimony, three patterns of nucleotide substitution are associated one-to-one with the three topologically linked trees for four taxa. In evolutionary parsimony, the three quantities are operator invariants. These invariants are the remnants of substitutions that have occurred in the interior branch of the tree and are analogous to the substitutions assigned to the central branch by parsimony. The two invariants associated with the incorrect trees must equal zero (statistically), whereas only the correct tree can have a nonzero invariant. The chi 2-test is used to ascertain the nonzero invariant and the statistically favored tree. Examples, obtained using data calculated with evolutionary rates and branchings designed to camouflage the true tree, show that the method accurately predicts the tree, even when substitution rates differ greatly in neighboring peripheral branches (conditions under which parsimony will consistently fail). As the number of substitutions in peripheral branches becomes fewer, the parsimony and the evolutionary-parsimony solutions converge. The method is robust and easy to use.